一种改进的微弱NQR信号检测算法

核四极矩共振(NQR)是一种固态射频谱分析技术,可用于检测高危险爆炸物.然而NQR信号本身非常弱,并且易受线圈的热噪声和外部射频干扰的影响,低信噪比限制了NQR的实际应用.该文提出一种改进的微弱NQR信号检测算法.首先利用Hankel矩阵方式下奇异值分解的方法,有效地抑制射频干扰和噪声,并将NQR信号分离出来.然后提出了一种基于MUSIC谱估计的非线性最小二乘检测器,它既保证了高的频率分辨率,又大大降低了运算量.仿真数据和实测数据结果表明该算法的有效性....

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Published in波谱学杂志 Vol. 29; no. 3; pp. 393 - 400
Main Author 朱凯然 吴惠阳 郑纪彬 苏涛
Format Journal Article
LanguageChinese
Published 西安电子科技大学雷达信号处理重点实验室,陕西西安,710071 2012
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ISSN1000-4556
DOI10.3969/j.issn.1000-4556.2012.03.009

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Abstract 核四极矩共振(NQR)是一种固态射频谱分析技术,可用于检测高危险爆炸物.然而NQR信号本身非常弱,并且易受线圈的热噪声和外部射频干扰的影响,低信噪比限制了NQR的实际应用.该文提出一种改进的微弱NQR信号检测算法.首先利用Hankel矩阵方式下奇异值分解的方法,有效地抑制射频干扰和噪声,并将NQR信号分离出来.然后提出了一种基于MUSIC谱估计的非线性最小二乘检测器,它既保证了高的频率分辨率,又大大降低了运算量.仿真数据和实测数据结果表明该算法的有效性.
AbstractList 核四极矩共振(NQR)是一种固态射频谱分析技术,可用于检测高危险爆炸物.然而NQR信号本身非常弱,并且易受线圈的热噪声和外部射频干扰的影响,低信噪比限制了NQR的实际应用.该文提出一种改进的微弱NQR信号检测算法.首先利用Hankel矩阵方式下奇异值分解的方法,有效地抑制射频干扰和噪声,并将NQR信号分离出来.然后提出了一种基于MUSIC谱估计的非线性最小二乘检测器,它既保证了高的频率分辨率,又大大降低了运算量.仿真数据和实测数据结果表明该算法的有效性.
O482.53%TN911.7; 核四极矩共振(NQR)是一种固态射频谱分析技术,可用于检测高危险爆炸物.然而NQR信号本身非常弱,并且易受线圈的热噪声和外部射频干扰的影响,低信噪比限制了NQR的实际应用.该文提出一种改进的微弱NQR信号检测算法.首先利用Hankel矩阵方式下奇异值分解的方法,有效地抑制射频干扰和噪声,并将NQR信号分离出来.然后提出了一种基于MUSIC谱估计的非线性最小二乘检测器,它既保证了高的频率分辨率,又大大降低了运算量.仿真数据和实测数据结果表明该算法的有效性.
Author 朱凯然 吴惠阳 郑纪彬 苏涛
AuthorAffiliation 西安电子科技大学雷达信号处理重点实验室,陕西西安710071
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Author_FL ZHU Kai-ran
WU Hui-yang
ZHENG Ji-bin
SU Tao
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DocumentTitleAlternate An Improved Detection Algorithm for Detection of Weak NQR Signals
DocumentTitle_FL An Improved Detection Algorithm for Detection of Weak NQR Signals
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Keywords MUSIC
非线性最小二乘检测器
奇异值分解
核四极矩共振(NQR)
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Notes Nuclear quadrupole resonance (NQR) is a solid-state radio frequency (RF) spectroscopic technique allowing the detection of many high explosives. However, the NQR signals are intrinsically weak, and the practical use of NQR is hindered by low sig-nal-to-noise ratio (SNR), and artifacts arising from the thermal noise of the coil and ex-ternal radio frequency interference (RFI). In this paper, we described an improved de-tection algorithm for detection of weak NQR signals. First, singular value decomposi-tion using the Hankel matrix was utilized to restrain RFI and filter noise. A non-linear least squares detector based on the (multiple signal classification) MUSIC spectral esti- mation was applied, which not only guaranteed a high resolution in the frequency do-main, but also led to significant reduction in the amount of computation. The effective-ness of this algorithm was demonstrated with the simulated and experimental results.
ZHUKai-ran , WU Hui-yang, ZHENG Ji-bin, SU Tao (National Lab of Radar Signal Proce
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PublicationTitle 波谱学杂志
PublicationTitleAlternate Chinese Journal of Magnetic Resonance
PublicationTitle_FL Chinese Journal of Magnetic Resonance
PublicationYear 2012
Publisher 西安电子科技大学雷达信号处理重点实验室,陕西西安,710071
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SubjectTerms MUSIC
奇异值分解
核四极矩共振(NQR)
非线性最小二乘检测器
Title 一种改进的微弱NQR信号检测算法
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